Decagon

Decagon

Senior Software Engineer, Data Infrastructure

New York City · Senior · Full-time

Sponsorship not specified$200k-$400kDetected 53 days ago
BigQuerySnowflakeRedshiftDatabricksAWSGCPAzureKubernetesTerraformCI/CDPrometheusGrafanaDatadogKafkaRabbitMQMachine LearningSparkAirflowData EngineeringLLMsAgentic AIAI OrchestrationIncident ResponseResearch

About the role

  • Core Infra: The foundational cloud stack-networking, compute, storage, security, and infrastructure‑as‑code-to ensure reliability, scale, and cost efficiency.
  • Data Infra: Streaming/batch data platforms powering analytics/BI and customer‑facing telemetry, including for customer‑managed and on‑prem environments.
  • Platform (DevEx): CI/CD, paved paths, and core services that make shipping fast, safe, and consistent across teams.

Responsibilities

  • We partner closely with product, data, and ML to deliver high‑scale, low‑latency systems with clear SLOs and great developer ergonomics.
  • GPU and model‑serving platforms for LLM inference with multi‑provider routing and support for on‑prem/air‑gapped deployments.
  • Lead infrastructure‑as‑code (Terraform) and GitOps practices for data systems; reduce drift with reusable modules and policy‑as‑code.
  • Participate in on‑call and drive down toil through automation and elimination of recurring data issues.
  • 5+ years building and operating production data infrastructure at scale.
  • We're hiring a Senior Data Infrastructure Engineer to design, build, and operate the data systems that power Decagon's AI products.
  • You'll own critical data pipelines and storage layers end‑to‑end, improve reliability and performance, and create paved paths that let every Decagon engineer work confidently with data at scale.
  • Design and implement high‑throughput data pipelines and streaming systems with strong SLOs, clear runbooks, and actionable telemetry.
  • Own our analytical data layer - schema design, query performance, and cost optimization across ClickHouse, BigQuery, or similar.
  • Partner with research and product teams to architect data solutions, evaluate performance, and scale new features.

Requirements

  • Hands-on experience with Tier 1 data technologies: ClickHouse, Kafka (or MSK/Pub‑Sub/RabbitMQ), and Flink or dbt.

Skills

  • Proven track record meeting high availability and low latency targets across streaming and batch workloads.
  • Excellent observability chops (OpenTelemetry, Prometheus/Grafana, Datadog) and strong incident response discipline.
  • Experience with CDC tooling (Debezium) and orchestration frameworks (Airflow, Dagster, or Prefect)
  • Familiarity with Spark or Dask for large‑scale data processing
  • Experience with cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks)
  • Experience being an early data/platform/infrastructure engineer at another company
  • Strong Kubernetes experience (GKE/EKS/AKS) and multi‑cloud exposure (GCP, AWS, Azure)
  • Experience with customer‑managed deployments
  • ClickHouse, Kafka (or MSK/Pub‑Sub/RabbitMQ), and Flink or dbt.
  • Even better if you have
  • $200K - $400K + Offers Equity

Compensation

  • This range reflects the expected compensation for this role.
  • Compensation within the range is determined based on experience, skills, and the scope of responsibilities, with flexibility for candidates who demonstrate exceptional impact.
  • In addition to base salary, we offer competitive equity.
  • Final compensation may vary based on location within the United States.

Benefits

  • We proudly offer the following benefits for our full-time employees:
  • Take what you need vacation policy (subject to local requirements
  • UK employees receive 25 days of statutory leave)
  • Medical, Dental, and Vision benefits for you and your family
  • Life Insurance and Disability Benefits
  • Retirement Plan (e.g., 401K, pension)
  • Parental Leave
  • Fertility and family building benefits through Carrot
  • These benefits are described in more detail in Decagon's policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.

Company info

  • Our mission is to deliver magical support experiences - AI agents working alongside humans to resolve issues quickly and accurately.

This listing is sourced directly from Decagon's careers page and normalized into a canonical job model.